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Optical Character Recognition by Open source OCR Tool Tesseract: A Case Study

by Chirag Patel, Atul Patel, Dharmendra Patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 10
Year of Publication: 2012
Authors: Chirag Patel, Atul Patel, Dharmendra Patel
10.5120/8794-2784

Chirag Patel, Atul Patel, Dharmendra Patel . Optical Character Recognition by Open source OCR Tool Tesseract: A Case Study. International Journal of Computer Applications. 55, 10 ( October 2012), 50-56. DOI=10.5120/8794-2784

@article{ 10.5120/8794-2784,
author = { Chirag Patel, Atul Patel, Dharmendra Patel },
title = { Optical Character Recognition by Open source OCR Tool Tesseract: A Case Study },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 10 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 50-56 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number10/8794-2784/ },
doi = { 10.5120/8794-2784 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:56:55.725173+05:30
%A Chirag Patel
%A Atul Patel
%A Dharmendra Patel
%T Optical Character Recognition by Open source OCR Tool Tesseract: A Case Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 10
%P 50-56
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optical character recognition (OCR) method has been used in converting printed text into editable text. OCR is very useful and popular method in various applications. Accuracy of OCR can be dependent on text preprocessing and segmentation algorithms. Sometimes it is difficult to retrieve text from the image because of different size, style, orientation, complex background of image etc. We begin this paper with an introduction of Optical Character Recognition (OCR) method, History of Open Source OCR tool Tesseract, architecture of it and experiment result of OCR performed by Tesseract on different kinds images are discussed. We conclude this paper by comparative study of this tool with other commercial OCR tool Transym OCR by considering vehicle number plate as input. From vehicle number plate we tried to extract vehicle number by using Tesseract and Transym and compared these tools based on various parameters.

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Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition (OCR) Open Source DLL Tesseract Transym

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